Is AI Search actually driving traffic yet?

Yes — for many B2B and information queries, ChatGPT + Perplexity + Google AI Overviews already drive 5–15 percent of qualified traffic. It grows every quarter.

Do we need different content for AI Search vs. Google?

Same core content, restructured. Adding clear Q&A blocks, unique data, and rich schema improves both.

AI Search Optimization (GEO)

Traditional SEO targets Google's blue links. AI Search Optimization (also called GEO — Generative Engine Optimization) targets ChatGPT, Perplexity, Google AI Overviews, Claude and Copilot. Different retrieval, different ranking signals, different content structures — and rapidly growing traffic share.

By WebsiteAndGoUpdated Aug 4, 2026 4 min read

Why this matters

Content structured for LLM retrieval and citation
Question-and-answer format optimisation
Schema markup that AI engines index deeply
Brand mention tracking across ChatGPT, Perplexity, Gemini
Prompt-based content strategy

What actually gets cited in AI answers

Clear question-answer blocks, factual specificity, unique data / research, citable structure, brand authority signals, and E-E-A-T markers. AI engines don't count backlinks the same way Google does — they weight authoritativeness within their training data and RAG index.

How to track AI Search visibility

Manual prompt testing weekly, brand-mention monitoring in ChatGPT + Perplexity + Gemini outputs, citation tracking in Perplexity's source panel, and traffic attribution from AI referrers in analytics.

What's included

Q&A optimisation Schema markup Brand mention tracking Citation monitoring GEO strategy

Frequently asked questions

Yes — for many B2B and information queries, ChatGPT + Perplexity + Google AI Overviews already drive 5–15 percent of qualified traffic. It grows every quarter.
Same core content, restructured. Adding clear Q&A blocks, unique data, and rich schema improves both.

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